Michael Ivanitskiy
Home
GitHub
Research
Projects
Research - Michael Ivanitskiy
My Google Scholar
Understanding Search in Transformers
(primary project)
mechanistic interpretability of transformer networks trained on toy spatial tasks.
Latest Paper
,
Code
BNBP
Training of Hodgkin-Huxley neural nets with SGD
Inverse Scaling
resistance to prompt injection might be an example of a task which exhibits inverse scaling in large transformer networks
RL dreams
value function robustness for world-model RL by giving it weird dreams
Loss Symmetries
(coming soon)
CE-learn
Studying learning in the C. elegans nematode
ML for medical imaging
Segmentation of CT images using a U-Net architecture